Razvoj i optimizacija sublingvalnih tableta fizostigmin salicilata

This study is aimed to design and optimize a sublingual tablet formulation of physostigmine salicylate, an effective drug in Alzheimer’s disease and nerve gas poisoning, by means of the D-optimal experimental design methodology. Polyvinyl pyrrolidone, lactose, starch 1500 and sodium starch glycolate were used in the formulations as independent variables. Tablets were prepared by the direct compression method and evaluated for their physical properties (tablet hardness, disintegration time and friability), which were regarded as responses in a D-optimal design. Due to the significance of the special cubic model for data fitted, compared to other models, it was used to examine the obtained results. Response surface plots were plotted to study the tablet properties and the optimized overlay plot was generated based on the results and targets considered for the responses. After verification of the optimum checkpoint formulations, an optimized formulation was chosen due to its desirable physical properties and closely observed and predicted values. Drug assay, content uniformity of the dosage unit, drug dissolution and accelerated stability studies were done on the optimum formulation as further experiments. All the obtained results complied with the requirements of a sublingual tablet formulation.Cilj rada bio je dizajnirati i optimirati sublingvalne tablete fizostigmin salicilata, lijeka učinkovitog u terapiji Alzheimerove bolesti i intoksikacije nervnim plinovitim otrovima, koristeći metodologiju D-optimalnog eksperimentalnog dizajniranja. U formulacijama su kao nezavisne varijable korišteni polivinil pirolidon, laktoza, škrob 1500 i natrijev škrobni glikolat. Tablete su pripravljene metodom izravne kompresije. Njihova fizikalna svojstva (tvrdoća, vrijeme dezintegracije i lomljivost) evaluirana su kao zavisna varijabla u D-optimalnom dizajniranju. Rezultati su najbolje slijedili specijalni kubični model, pa je taj model upotrijebljen za ispitivanje rezultata. Nacrtane su krivulje ovisnosti za proučavanje svojstava tableta. Na temelju njih izrađen je i optimirani prekrivni prikaz prema rezultatima i postavljenim ciljevima za odgovor na lijek. Poslije provjere najboljih kontrolnih formulacija, izabrana je jedna optimirana formulacija temeljem svojih poželjnih fizičkih značajki te uočenih i predviđenih vrijednosti. Ispitivanje lijeka, jednolikosti sadržaja, oslobađanja lijeka i pokusi ubrzanog starenja provedeni su na optimiranoj formulaciji. Dobiveni rezultati odgovaraju zahtjevima za tablete za sublingvalnu primjenu

A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models

Particle Swarm Optimization (PSO) is a meta-heuristic algorithm that has been shown to be successful in solving a wide variety of real and complicated optimization problems in engineering and computer science. This paper introduces a projection based PSO technique, named ProjPSO, to efficiently find different types of optimal designs, or nearly optimal designs, for mixture models with and without constraints on the components, and also for related models, like the log contrast models. We also compare the modified PSO performance with Fedorov's algorithm, a popular algorithm used to generate optimal designs, Cocktail algorithm, and the recent algorithm proposed by [1]